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Record W4415512452 · doi:10.1080/07292473.2025.2577497

After the people were gone: rewilding Kočevje in the wake of the expulsion of Slovenia’s Gottscheer Germans, 1941-present

2025· article· en· W4415512452 on OpenAlexaff
Gregor Kranjc

Bibliographic record

VenueWar & Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsBrock University
Fundersnot available
KeywordsWakeContext (archaeology)George (robot)Work (physics)

Abstract

fetched live from OpenAlex

For 600 years Kočevje (Gottschee in German) was inhabited by ethnic Germans known as the Gottscheer Germans. Having opted for Hitler’s resettlement policy (Heim ins Reich – Home to the Reich) in 1941, almost the entire population resettled into German-occupied Slovenia before being expelled from Yugoslavia, along with all Germans, by the new Communist regime in 1945. Today Kočevje is best known for its ‘untouched, primaeval forests’ and as ‘Bear Forest’, with scant mention of its former German inhabitants. The paper traces how the Kočevje region ‘rewilded’ from a land with people in 1941 and with forest coverage consistent with other areas of Slovenia, to a sparsely inhabited land with over ninety per cent forest coverage today. Explanatory factors that are considered include war and ethnic cleansing, the Communist regime’s ideologically tainted disregard for Kočevje’s remaining German and sacral cultural presence, failed post-war socialist economic policies, and the ever more attractive tourist branding of Kočevje as a wilderness without people.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.181

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.005
Scholarly communication0.0040.001
Open science0.0000.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.271
Teacher spread0.262 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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